Logistic regression models explaining exposure of 196 white-tailed deer (<i>Odocoileus virginianus</i>) to <i>Leptospira interrogans pomona</i> from two sites in Wisconsin, USA, 2010–2013.

<p>^aLT = land type (public vs. private); CS = capture site; IBR = exposure to infectious bovine rhinotracheitis virus; PI3 = exposure to parainfluenza 3 virus; Age = deer age; Year = capture year; Sex = male or female.</p><p>^bAkaike’s Information Criterion corrected for small sample size [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0128827#pone.0128827.ref031" target="_blank">31</a>].</p><p>^cDifference in AIC_<i>c</i> relative to minimum AIC.</p><p>^dAkaike weight [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0128827#pone.0128827.ref031" target="_blank">31</a>].</p><p>^eNumber of parameters.</p><p>^fArea under the receiver operating characteristic curve.</p><p>Logistic regression models explaining exposure of 196 white-tailed deer (<i>Odocoileus virginianus</i>) to <i>Leptospira interrogans pomona</i> from two sites in Wisconsin, USA, 2010–2013.